Triple

T13405366
Position Surface form Disambiguated ID Type / Status
Subject DAI Sana'a Office E319940 entity
Predicate affiliation P10 FINISHED
Object DAI E1040832 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: DAI | Statement: [DAI Sana'a Office, affiliation, DAI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DAI
Context triple: [DAI Sana'a Office, affiliation, DAI]
  • A. DAI
    DAI is the commonly used abbreviation for the German Archaeological Institute, a leading international institution for archaeological research and cultural heritage preservation.
  • B. DAI
    DAI is a prominent fine arts museum in Dayton, Ohio, known for its diverse art collections, educational programs, and cultural exhibitions.
  • C. DAI chosen
    DAI is a global development company that designs and implements international development projects to improve social and economic conditions in emerging and transitioning countries.
  • D. Dai
    Dai is a common Welsh given name, often used as a familiar or diminutive form of David.
  • E. Dai
    The Dai are an ethnic group in southern China and Southeast Asia, culturally related to the Thai and Lao peoples and known for their Theravada Buddhist traditions, distinctive festivals, and stilted wooden houses.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4ae47081909b68a9aaa62fd4c7 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7461b0dd481908719fc4657bb92bb completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 9:34 p.m.